Environmental DNA (eDNA) metabarcoding for detecting arthropod pollinators, pests and parasites of a horticultural species
Access Status
Open access
Date
2023Supervisor
Paul Nevill
Nicole White
Bill Bateman
Type
Thesis
Award
PhD
Metadata
Show full item recordFaculty
Science and Engineering
School
School of Molecular and Life Sciences
Collection
Abstract
Global food production is increasingly threatened as the ecological services that underpin crop yields are affected by an array of biotic and abiotic stressors. Beneficial (e.g. pollinators and predators) and antagonistic arthropods (e.g. pests and pathogens) are an important biotic component of agroecosystems. This thesis explores environmental DNA (eDNA) metabarcoding, as a survey tool to detect ecologically significant arthropods and the resources upon which they rely in agroecosystems.